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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Popular Applied Machine Learning Courses and Certifications


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    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
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    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Cloud Hosting, Cloud Infrastructure, Scalability, Verification And Validation, Cloud Deployment, Capacity Management, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
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    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, Machine Learning Software, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Process Driven Development, Dependency Analysis, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science, Data Transformation, Algebra

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Delta Lake and Medallion Architecture for AI and ML

    Skills you'll gain: PySpark, Data Lakes, Databricks, Data Pipelines, Apache Spark, Data Architecture, Data Transformation, Data Infrastructure, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Processing, Data Manipulation, Data Cleansing, Data Validation, Data Maintenance, Data Management, Python Programming, Data Entry, SQL, Data Collection

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied machine learning courses

  • Deep Learning for AI Part 1: Northeastern University
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Google BigQuery for Data and ML Engineers: Pearson
  • Master Java Build Tools for ML Projects: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Foundations of Model Optimization and Deep Learning: Packt
  • Build Robust Java ML Models with Entropy: Coursera
  • Automate, Validate, and Promote ML Models Safely: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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